Risk Factors And Contagion In Commodity Markets And Stocks Markets - Группа авторов
| Автор: | Группа авторов |
| Издательство: | Ingram |
| Серия: | |
| Жанр произведения: | Ценные бумаги, инвестиции |
| Год издания: | 0 |
| isbn: | 9789811210259 |
The link between commodities prices and the business cycle, including variables such as real GDP, industrial production, unemployment, inflation, and market uncertainty, has often been debated in the macroeconomic literature. To quantify the impact of commodities on the economy, one can distinguish different modeling approaches. First, commodities can be represented as the pinnacle of cross-sectional financial asset prices. Second, price fluctuations due to seasonal variations, dramatic market changes, political and regulatory decisions, or technological shocks may adversely impact producers who use commodities as input. This latter effect creates the so-called 'commodities risk'. Additionally, commodities price fluctuations may spread to other sectors in the economy, via contagion effects. Besides, stronger investor interest in commodities may create closer integration with conventional asset markets; as a result, the financialization process also enhances the correlation between commodity markets and financial markets. Our objective in this book, Risk Factors and Contagion in Commodity Markets and Stocks Markets, lies in answering the following research questions: What are the interactions between commodities and stock market sentiment? Do some of these markets move together overtime? Did the financialization in energy commodities occur after the 2008 Global Financial Crisis? These questions are essential to understand whether commodities are driven only by their fundamentals, or whether there is also a systemic component influenced by the volatility present within the stock markets. Contents: PrefaceAbout the EditorsAbout the ContributorsBubbles on Bitcoin Price: The Bitcoin Rush (Dominique Guegan and Marius-Cristian Frunza) Investigating the Association between Oil VIX and Equity VIX: Evidence from China (Anupam Dutta, Timo Rothovius and Jussi Nikkinen) The Predictive Power of Oil and Commodity Prices for Equity Markets (Leila Dagher, Ibrahim Jamali and Nasser Badra) Time-Varying Linkage between Equities and Oil (Beyza Mina Ordu-Akkaya, Adil Oran and Uğur Soytaş) Has the Causal Nexus of Oil Prices and Consumer Prices Been Asymmetric in the US during the Last Fifteen Decades? (Abdulnasser Hatemi-J and Youssef El-Khatib) Risky Financial Assets in Financial Integration and the Impacts of Derivatives on Banking Returns (Hasan Dinçer, Serhat Yüksel, Fatih Pınarbaşı and Mehmet Ali Alhan) The Risk-Sharing Paradigm in Islamic Financial System: Myth or Reality? (Jamel Boukhatem and Mouldi Djelassi) Commodity Markets' Asset Allocation with Robust Liquidity Risk Management Optimization Parameters (Mazin A M AlJanabi) Comovements and Integration in African Stock Markets (El Mehdi Ferrouhi) Interdependence or Contagion in Equity Markets? Evidence from Past Crises (Olfa Kaabia) Impact of Contagion on Proxy-Hedging in Jet-Fuel Markets (Dominique Guegan, Marius-Cristian Frunza and Rostislav Haliplii) Index Readership: Students and professionals interested in the field of quantitative finance, commodity markets and contagion.Risk;Commodity;Commodity Markets;Stock;Risk Contagion;Contagion;Volatility0 Key Features: Addresses the state-of-the-art, current issues and new trends in quantitative energy finance (pricing, modeling, risk management, etc.)Gives a resume of the main results obtained in the modeling of the behaviors and dynamics of energy and stock marketsBrings insights about the mathematical modeling contagionStudies the financial mathematical particularities of the contagion, financial effects, commodities risk, and contagion spillovers in a unified and comprehensive frameworkGives a definition of contagion effects, the common sources of risk, the dimension of the correlation fluctuation depending on the factor loadingsOffers an innovative theoretical approach to problems of interest in energy risk management and modelingBlends mathematical techniques with new developments and theoretical results in energy finance